Big Data is the industry term for the IT sector, this massive data set name. Big data (big data), refers to the collection of data can not be captured, managed and treated with conventional software tools within a certain time frame, is the need for new processing mode in order to have more decision-making power, strength and insight discovery process optimization capabilities massive, high growth rates and diverse information assets.
In various shopping platform, users received shopping product recommendations, it is to use the results of big data. Often use Taobao people may have such a feeling, a few days before a product search, after a few days will often receive a recommendation related products.
Not only is shopping, big data can also be used for estimated future situation. With the widespread use of big data, future applications of big data is an inevitable trend.
Between the coming 10-20 years, the development trend of big data must be more rapid.
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Industry grew faster, the talent gap 1.8 million
With the popularity of mobile Internet and intelligent terminals, convergence and economic and social integration of information technology, led to the rapid growth of data. New Moore's Law believes that the total amount of data in human history, every 18 months to double. The vast amounts of data contains a huge productivity and business opportunities.
Between 2011 to 2014 for four years, China's big data in its infancy, the annual average growth of more than 20%.
By 2015, big data market has reached 9.89 billion yuan. 2016 growth rate reached 45%, more than 16 billion yuan. By 2020, China's large market size data will be over 800 billion yuan, is expected to become the world's first data resources in the country.
However, low data openness, technology is weak, lack of talent, industry applications and so are not in-depth development of industry problems to be solved.
China Chamber of Commerce Professional Committee of Statistics show that the data analysis, the next 3-5 years, China will need 1.8 million personnel data, but as of now, China employing big data only about 30 million people. Meanwhile, Big Data industry before the election standards are constantly changing.
Initially, demand for big data talent mainly in the field of ETL partial hardware development, system architecture development, data warehousing research, to the IT, human computer background of the majority. With big data to each of the vertical extension of the development areas of statistics, mathematics professional personnel, data analysis, data mining, increase the demand partial software in the field of artificial intelligence.
2
Big Data learning, which can engage in work
Big Data learning technology, can engage in large data development engineer, big data systems R & D engineers, data analysts, and so big . It also reinforces the new vitality of the original post, such as network engineers, system architects, database management and development and so on . Then, as we focus on the analysis under the current mainstream big data-related jobs:
1, big data system development engineer
in charge of large data systems research and development, including large-scale unstructured data to build business models, large data storage, database architecture and database design detailed design, optimized database architecture, database center construction design to solve the problem. They are also responsible for the daily operation of the cluster, system monitoring and configuration, Hadoop integration with other systems.
2, Big Data Application Development Engineer
Big Data Development Engineer is responsible to build the entire technology framework, responsible for the overall design of the program running in the background. Construction of a building as the overall framework of the same. The importance of self-evident.
At present this requirement is to require the main job of a skilled Java, Hadoop, Spark, Hive, Hbase and so on. Generally higher salaries, the following will be introduced to it for everyone.
3, Big Data analysts
use algorithms to solve the problem analysis, and engage in data mining. Their biggest skill is the ability to make data tells the truth. In addition, they also have expertise in a particular field, to help develop data products, and promote constantly updated data solutions.
4, data visualization engineers
Have good communication skills and team spirit, strong sense of responsibility, we have excellent problem solving skills. They are responsible for the quality of data collected, the use of graphical tools and application means, at a glance reveal complex information data, to help companies better develop large data applications, large data found great wealth behind.
3
Different positions, how salary
Overall, the case of Beijing, the average monthly salary in Beijing related to big data work for 22,050 yuan, three percent more than the monthly salary of big data practitioners located in 30K-50K range, a monthly salary of nearly 20 percent of large data practitioners in 20K- 30K range, 10K-20K of the number of practitioners accounted for three percent.
Source: Friends of the post set
Specifically:
1、大数据系统研发工程师，平均月薪32500元，普遍月薪位于30K-50K之间，福利待遇优渥。
图片来源：职友集
2、大数据应用开发工程师，平均月薪35000月，普遍月薪同样位于30K-50K之间。整体薪资水平非常可观。
图片来源：职友集
3、大数据分析师，平均月薪18640元，33.2%的从业者薪资处于20K-30K区间，10K-15K以及30K-50K区间内的从业者人数接近20%，15K-20K区间的从业者占比15.8%。
图片来源：职友集
4、数据可视化工程师，平均月薪21330元，25%的从业者薪资处于30K-50K区间，36.7%的从业者薪资处于20K-30K之间，10K-20K的从业者人数占比将近三成。
图片来源：职友集
4
总结
大数据已从概念落到实地，在精准营销、智慧医疗、影视娱乐、金融、教育、体育、安防等领域均有大量应用，随着云计算、物联网、移动互联网等支撑行业快速发展，未来大数据将拥有更为广阔的应用市场空间。
所以，对于对大数据感兴趣的同学来说，现在入门大数据岗位非常合适。种一棵树最好的时间是十年前，其次是现在！
